Showing 1,541 - 1,560 results of 18,849 for search 'sample random sampling', query time: 0.20s Refine Results
  1. 1541

    Evaluation of the causal relationship between 28 circulating biomarkers and osteoarthritis: a bidirectional Mendelian randomization study by Xiao-Wei Zhu, Xiao Zheng, Lu Wang, Jia Liu, Man Yang, Ya-Qi Liu, Yun Qian, Yuan Luo, Lei Zhang

    Published 2025-03-01
    “…Methods: We conducted a comprehensive bidirectional two-sample Mendelian randomization (MR) study between 28 circulating biomarkers and six OA types, using large-scale genome-wide association study (GWAS) summary statistics data from a UK Biobank cohort (n = 450,243) and the latest OA meta-analysis (n = 826,690). …”
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  2. 1542
  3. 1543

    The causal impact of genetically predicted inflammatory bowel disease on extraintestinal manifestations: a mendelian randomization study by Xingcan Fan, Anqi He, Kaiyu Li, Maorun Zhang, Qi Zhang, Wanyi Xiao, Gang Liu

    Published 2025-03-01
    “…We carefully selected SNPs associated with both exposure and outcome by comparing and integrating data from GWAS and relevant literature, and prioritizing studies with large sample sizes, high quality, and as much population homogeneity as possible. …”
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  4. 1544

    Schema-Informed Digital Mental Health Intervention for Maladaptive Cognitive-Emotional Patterns: Randomized Controlled Trial by Seohyun Jeong, Hyeonseong Kim, Silvia Kyungjin Lho, Inae Hwang, Seongjun Mun, Soohyun Kim, Hyejin Lim, Hyeonhee Kim, Min-Sup Shin, Woori Moon

    Published 2025-08-01
    “…However, limitations in study design, sample representativeness, and follow-up duration suggest that further research is needed to assess the long-term effectiveness and broader applicability of such digital programs. …”
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  5. 1545

    A True Random Number Generator Based on Race Hazard and Jitter of Braided and Cross-Coupled Logic Gates Using FPGA by Hossam O. Ahmed, Donghoon Kim, William J. Buchanan

    Published 2024-01-01
    “…The B+HCCES module operates at a fixed sampling frequency of 300 MHz, generated by an embedded phase-locked loop. …”
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  6. 1546

    MF‐RF: A detection approach based on multi‐features and random forest algorithm for improved collusive interest flooding attack by Meng Yue, Silin Peng, Wenzhi Feng

    Published 2023-05-01
    “…Finally, the Random Forest model is designed to detect the I‐CIFA attack. …”
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  7. 1547

    Bayesian Estimation Strategy for a Newly Developed 2-Component Mixture Model of Exponential Distributions Under Random Censoring Scheme by Zain Ullah, Amjad Ali, Akbar Ali Khan, Mehboob Ali, Ishtiaq Hussain, Rasool Shah

    Published 2025-01-01
    “…We investigate the performance of these BEs across different sample sizes and parametric values under different loss functions. …”
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  8. 1548

    Grip Strength and Age-Related Ocular Diseases: Insights from Observational, Mendelian Randomization, and Mediation Analyses by Chao Chen, Dongling Guo, Jiaqi Meng, MD, Jiao Qi, MD, Keke Zhang, MD, Wenwen He, MD, Yih Chung Tham, PhD, Xiangjia Zhu, PhD

    Published 2025-09-01
    “…Methods: Logistic regression models were used to evaluate the associations between grip strength and age-related ocular diseases. Two-sample Mendelian randomization analyses were conducted to assess the causality. …”
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  9. 1549

    VIRTUAL REALITY ENVIRONMENT TRAINING EFFECT ON DYNAMIC AND STATIC STABILITY AMONG ATHLETES FROM RANDOM INTERMITTENT DYNAMIC TYPE SPORTS by Mohammad Ahsan, Qassim Ibrahim Muaidi, Turki Saeed Abualait

    Published 2022-12-01
    “…Assessments were performed before and after six weeks of training. A paired sample t-test was used to determine differences between pretest and posttest outcome measures. …”
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  10. 1550

    Assessing the Validity of k-Fold Cross-Validation for Model Selection: Evidence from Bankruptcy Prediction Using Random Forest and XGBoost by Vlad Teodorescu, Laura Obreja Brașoveanu

    Published 2025-05-01
    “…We employ a nested cross-validation framework to assess the relationship between cross-validation (CV) and out-of-sample (OOS) performance on 40 different train/test data partitions. …”
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  11. 1551

    Improvement of Wild Horse Optimizer Algorithm with Random Walk Strategy (IWHO), and Appointment as MLP Supervisor for Solving Energy Efficiency Problem by Şahiner Güler, Erdal Eker, Nejat Yumuşak

    Published 2025-06-01
    “…The performance change is observed through a Multi-Layer Perceptron (MLP) sample. In this context, an advanced Wild Horse Optimization (IWHO) algorithm with a random walking strategy was developed to provide solution diversity in local spaces using a random walking strategy. …”
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  12. 1552

    Comparing Grid Model Fitting Methodologies for Low-temperature Atmospheres: Markov Chain Monte Carlo versus Random Forest Retrieval by Anna Lueber, Adam J. Burgasser

    Published 2025-01-01
    “…Self-consistent atmosphere models are commonly used for spectral fitting, but computational limits restrict the production of finely sampled multidimensional parameter grids, necessitating interpolation methods to infer precise parameters and uncertainties. …”
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  13. 1553

    What Drives the H i Content of Central Galaxies—A Comparison between Hydrodynamic Simulations and Observations Using Random Forest by Xiao Li, Cheng Li, H. J. Mo

    Published 2025-01-01
    “…We investigate the driving mechanisms for the H i gas content in star-forming central galaxies at low redshift, by examining the H i -to-stellar mass ratio ( M _H _i / M _* ) in both the state-of-the-art hydrodynamic simulations, IllustrisTNG (TNG) and EAGLE, and the xGASS sample. We quantify the correlations of M _H _i / M _* with a variety of galaxy properties using the Random Forest regression technique, and we make comparisons between the two simulations, as well as between the simulations and xGASS. …”
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  14. 1554

    Automated Age Estimation from OPG Images and Patient Records Using Deep Feature Extraction and Modified Genetic–Random Forest by Gulfem Ozlu Ucan, Omar Abboosh Hussein Gwassi, Burak Kerem Apaydin, Bahadir Ucan

    Published 2025-01-01
    “…To perform age estimation using feature information, Genetic algorithm (GA) and Random Forest algorithm (RF) were modified, combined, and defined as Modified Genetic–Random Forest Algorithm (MG-RF). …”
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  15. 1555

    Mortality outcomes with hydroxychloroquine and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized trials by Cathrine Axfors, Andreas M. Schmitt, Perrine Janiaud, Janneke van’t Hooft, Sherief Abd-Elsalam, Ehab F. Abdo, Benjamin S. Abella, Javed Akram, Ravi K. Amaravadi, Derek C. Angus, Yaseen M. Arabi, Shehnoor Azhar, Lindsey R. Baden, Arthur W. Baker, Leila Belkhir, Thomas Benfield, Marvin A. H. Berrevoets, Cheng-Pin Chen, Tsung-Chia Chen, Shu-Hsing Cheng, Chien-Yu Cheng, Wei-Sheng Chung, Yehuda Z. Cohen, Lisa N. Cowan, Olav Dalgard, Fernando F. de Almeida e Val, Marcus V. G. de Lacerda, Gisely C. de Melo, Lennie Derde, Vincent Dubee, Anissa Elfakir, Anthony C. Gordon, Carmen M. Hernandez-Cardenas, Thomas Hills, Andy I. M. Hoepelman, Yi-Wen Huang, Bruno Igau, Ronghua Jin, Felipe Jurado-Camacho, Khalid S. Khan, Peter G. Kremsner, Benno Kreuels, Cheng-Yu Kuo, Thuy Le, Yi-Chun Lin, Wu-Pu Lin, Tse-Hung Lin, Magnus Nakrem Lyngbakken, Colin McArthur, Bryan J. McVerry, Patricia Meza-Meneses, Wuelton M. Monteiro, Susan C. Morpeth, Ahmad Mourad, Mark J. Mulligan, Srinivas Murthy, Susanna Naggie, Shanti Narayanasamy, Alistair Nichol, Lewis A. Novack, Sean M. O’Brien, Nwora Lance Okeke, Léna Perez, Rogelio Perez-Padilla, Laurent Perrin, Arantxa Remigio-Luna, Norma E. Rivera-Martinez, Frank W. Rockhold, Sebastian Rodriguez-Llamazares, Robert Rolfe, Rossana Rosa, Helge Røsjø, Vanderson S. Sampaio, Todd B. Seto, Muhammad Shahzad, Shaimaa Soliman, Jason E. Stout, Ireri Thirion-Romero, Andrea B. Troxel, Ting-Yu Tseng, Nicholas A. Turner, Robert J. Ulrich, Stephen R. Walsh, Steve A. Webb, Jesper M. Weehuizen, Maria Velinova, Hon-Lai Wong, Rebekah Wrenn, Fernando G. Zampieri, Wu Zhong, David Moher, Steven N. Goodman, John P. A. Ioannidis, Lars G. Hemkens

    Published 2021-04-01
    “…Abstract Substantial COVID-19 research investment has been allocated to randomized clinical trials (RCTs) on hydroxychloroquine/chloroquine, which currently face recruitment challenges or early discontinuation. …”
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  16. 1556

    Bidirectional relationships between cognition and depressive symptoms and effects of sociodemographic and lifestyle factors: random-intercept, cross-lagged panel model by Ted C. T. Fong, Ryder T. H. Chan, Ming Wen, Paul S. F. Yip

    Published 2025-07-01
    “…Method The sample comprised 24 425 community-based residents aged 45 years or above, recruited via five waves of the China Health and Retirement Longitudinal Study (2011–2020). …”
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  17. 1557

    Random Forest Regression May Become the Optimal Regression Model for Osteoarthritis of the Knee in Elderly, in the Context of Embodied Cognition and Psychosomatic Medicine by Ma G, Chen J, Li J, Shi H, Chen Y

    Published 2025-07-01
    “…Future research with larger and more diverse samples is recommended to validate these findings.Keywords: knee osteoarthritis, post-treatment depression, psychosomatic outcomes, regression models, random forest, elderly patients, longitudinal analysis…”
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  18. 1558
  19. 1559

    Recognition of HLA-DPB1 alleles and their associated HLA haplotypes in 55 randomized unrelated Taiwanese individuals by Shee-Ping Chen, Py-Yu Lin, Kuo-Liang Yang

    Published 2024-09-01
    “…OBJECTIVES: Here, we report the distribution of HLA-DPB1 alleles studied in a cohort of 55 randomly collected blood samples from unrelated Taiwanese individuals and the deduced most likely HLA haplotypes associated with the defined DPB1 alleles in the cohort. …”
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  20. 1560

    Evaluation of residual carious dentin detection methods after cavity preparation: a randomized clinical trial by Hadiza Mohammed Abba, Paul Ikhodaro Idon, Christopher Ikeokwu Udoye, Oluwafeyisayo Francis Ikusika

    Published 2024-11-01
    “…Design Three-arm, double-blinded, parallel group randomized trial. A centralized randomization, into three groups A, B, and C, used opaque envelopes containing names of diagnostic methods allocated to teeth in the trail. …”
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